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1,659 results for “structured population”
Fig. 4 in Population structure and reproductive behavior of Sinaloa cichlid Cichlasoma beani (Jordan, 1889) in a tropical reservoir
Fig. 4. Relationship between standard length and total weight (SL-TW) of the Sinaloa cichlid Cichlasoma beani in the Aguamilpa Reservoir in Nayarit, Mexico.
Fig. 3 in Population structure and reproductive behavior of Sinaloa cichlid Cichlasoma beani (Jordan, 1889) in a tropical reservoir
Fig. 3. Monthly frequency distribution of size and modal groups of Sinaloa cichlid Cichlasoma beani in the Aguamilpa Reservoir in Nayarit, Mexico.
Fig. 2 in Population structure and reproductive behavior of Sinaloa cichlid Cichlasoma beani (Jordan, 1889) in a tropical reservoir
Fig. 2. (a) Monthy sex ratio; (b) Length-frequency distribution by gender for Sinaloa cichlid Cichlasoma beani in the Aguamilpa Reservoir in Mexico. Asterisks indicate significant differences.
Fig. 7 in Population structure and reproductive behavior of Sinaloa cichlid Cichlasoma beani (Jordan, 1889) in a tropical reservoir
Fig. 7. Size at first maturity of the Sinaloa cichlid Cichlasoma beani in the Aguamilpa Reservoir in Nayarit, Mexico.
Fig. 5 in Population structure and reproductive behavior of Sinaloa cichlid Cichlasoma beani (Jordan, 1889) in a tropical reservoir
Fig. 5. Reproductive cycle of the Sinaloa cichlid Cichlasoma beani in the Aguamilpa Reservoir in Nayarit, Mexico.
Fig. 8 in Iheringichthys labrosus (Siluriformes: Pimelodidae) in the Piquiri River, Paraná, Brazil: population structure and some aspects of its reproductive biology
Fig. 8. Bimonthly variation of the mean values of the gonadosomatic index (GSI) of females (a) and males (b) of Iheringichthys labrosus in the Piquiri River from November 2002 to September 2003. (SD = Standard deviation).
Fig. 6 in Iheringichthys labrosus (Siluriformes: Pimelodidae) in the Piquiri River, Paraná, Brazil: population structure and some aspects of its reproductive biology
Fig. 6. Bimonthly variation of the mean values of the fullness index (FI) of females (a) and males (b) of Iheringichthys labrosus in the Piquiri River from November 2002 to September 2003. (SD = Standard deviation).
Fig. 4 in Iheringichthys labrosus (Siluriformes: Pimelodidae) in the Piquiri River, Paraná, Brazil: population structure and some aspects of its reproductive biology
Fig. 4. Length/weight relationship for females (a), males (b) and for both sexes (c) of Iheringichthys labrosus, obtained between November 2002 and September 2003 in the Piquiri River.
Fig. 3 in Iheringichthys labrosus (Siluriformes: Pimelodidae) in the Piquiri River, Paraná, Brazil: population structure and some aspects of its reproductive biology
Fig. 3. Length distribution of Iheringichthys labrosus captured in the Piquiri River from November 2002 to September 2003.
Fig. 2 in Iheringichthys labrosus (Siluriformes: Pimelodidae) in the Piquiri River, Paraná, Brazil: population structure and some aspects of its reproductive biology
Fig. 2. Catch per unit of effort, in number and biomass (number of individuals and kg/1000 m2 of net for 24 hours) of Iheringichthys labrosus, obtained at the sampling sites (a - number of individuals, b - biomass); shifts (c - number of individuals, d - biomass) and months (e - number of individuals, f - biomass) in the Piquiri River from November 2002 to September 2003.
Fig. 7 in Iheringichthys labrosus (Siluriformes: Pimelodidae) in the Piquiri River, Paraná, Brazil: population structure and some aspects of its reproductive biology
Fig. 7. Frequency of the gonadal development stage of Iheringichthys labrosus captured in the Piquiri River from November 2002 to September 2003.
Fig. 2 in Microsatellite variation and population genetic structure of a neotropical endangered Bryconinae species Brycon insignis Steindachner, 1877: implications for its conservation and sustainable management
Fig. 2. UPGMA clustering of the Nei's genetic distance (1972) of the Brycon insignis sampling locations based on six microsatellite loci. Bootstrap values above 50% are shown above branches indicating percentage support in 5000 permutations. Power Company Hatchery (PCH), São João River (SJR), Paraíba do Sul River (PSR), Imbé River (IMR), Muriaé River (MUR) and Itabapoana River (ITR).
Fig. 2 in Population structure, growth and fishery yield of Leporinus acutidens (Valenciennes, 1837) (Teleostei: Anostomidae) in Yacyretá Reservoir (Argentina)
Fig. 2. Water levels of the Paraná River at Posadas (Argentina). Values represent monthly average water levels between January 1990 and January 1999.
Fig. 3 in Population structure, growth and fishery yield of Leporinus acutidens (Valenciennes, 1837) (Teleostei: Anostomidae) in Yacyretá Reservoir (Argentina)
Fig. 3. Season and study period variation in the average marginal increment (MI) of L. acutidens. First period: 1990–1994, second period: 1995–1998.
Data from: Dinosaurian survivorship schedules revisited: new insights from an age-structured population model
<p>Little is known on dinosaur population biology due to insufficient information on age-dependent fecundities and mortalities. So far, survivorship curves (hereafter SC) of only six dinosaurs (four tyrannosaurs, one ceratopsian, one hadrosaur) were erected from bone assemblages of aged specimens. They indicate high survival throughout most of their life with presumable higher mortalities after hatching and increasing mortalities towards its end. However, all studies ignored that assemblages must preserve stationary age distributions (i.e., the population's age distribution is stable and its size is constant over time as overall population fecundities match mortalities, hereafter SAD population) to infer a reliable SC for a taxon.</p> <p>To assess SCs of these dinosaurs, I built a simple population model with age-dependent fecundities and survival rates. Its few input parameters are maximum longevity, age at sexual maturation and maximum annual offspring number, on which information exists in these dinosaurs. As bone histological studies and scaling relationships provide estimates on its three parameters, my model is also applicable to other extinct taxa.</p> <p> Modelling suggests that bone assemblages did not preserve SAD populations. SCs determined for SAD populations of <i>Albertosaurus sarcophagus</i>,<i> Gorgosaurus libratus</i>, <i>Dasplatosaurus torosus</i> and <i>Tyrannosaurus rex</i> indicated that low mortalities follow high mortalities early in their life or that mortalities were rather constant throughout their life. In <i>Psittacosaurus lujiatuensis</i> modelling suggests low mortalities throughout most of its life that increase towards its end. The SC of <i>Maiasaura peeblesorum</i> was not questioned by my model as it is unable to capture sigmoidal or other composite SCs.</p>
Speciation rates are unrelated to the formation of population structure in Malagasy Gemsnakes
<p><span>Speciation rates vary substantially over the tree of life. These rates should be linked to the rate at which population structure forms if a continuum between micro and macroevolutionary processes exists. Previous studies examining the link between speciation rates and the degree of population formation in clades have shown both correlation and no correlation. No study has examined the relationship between speciation rates and population structure in a young group endemic to an island. We examine this correlation in 109 Gemsnakes (Pseudoxyrhophiidae) endemic to Madagascar originating in the early Miocene, thus controlling for extinction associated with time and area. We find no relationship between rates of speciation and the formation rates of population structure over space in 33 species of Gemsnakes. Rates of speciation show low variation, and population structure varying widely across species indicates that speciation rates and population structure disconnection are largely due to persistence of lineages not susceptible to extinction. Extinction can be due to many factors all of which can prevent long-term persistence of species. We discuss how delimiting populations versus species may contribute to problems understanding the continuum between shallow and deep evolutionary processes.</span></p>
Population structure in diverse pepper (Capsicum spp.) accessions
<p>This data represents genotypes of a pepper diversity collection. Samples were sequenced using double-digest Genotyping-By-Sequencing (GBS) using Apek1 and Btg1 restriction enzymes. Fastq files were demultiplexed using Illumina bcl2fastq software (<a href="http://emea.support.illumina.com/downloads/bcl2fastq-conversion-software-v2-20.html">http://emea.support.illumina.com/downloads/bcl2fastq-conversion-software-v2-20.html</a>). Trimmomatic was used to remove the first 12-bases (adapter sequences) from the beginning of each read (Bolger et al., 2014). Cleaned reads were aligned to the C. annuum reference genome (UCD-10X-F1; a cross between Criollos de Morelos 334 landrace and a non-pungent blocky pepper-breeding line; Hulse-Kemp et al. 2018) using BWA-mem (Li, 2013). Variants were called using Freebayes software to jointly call variants across all samples (Garrison & Marth, 2012). The initial VCF file was filtered using VCFtools to remove variants with minor allele frequency < 1%, variants with genotype rates < 95%, and samples with genotype rates < 10%. This generated a total of 22,916 SNPs across the 12 chromosomes. Further a subset of the lines were phenotyped for vitamin content, we provide these phenotypes as well as a marker set of 2966 markers that can be used to explore them. </p>
Fig. 5 in Spined Loache Settlements Structure (Cobitidae) Of The Eastern Ukraine River Systems And Alternative Character Of Diploid And Polyploid Populations
Fig. 5. Distribution of loaches samples of group of species C. elongatoides, C. taenia, C. tanaitica by the average ratio of diploids in the river systems of Eastern Ukraine, the Oder, Vistula, and Danube (1) against a similar distribution in the river systems of the Eastern Ukraine.
Fig. 6 in Spined Loache Settlements Structure (Cobitidae) Of The Eastern Ukraine River Systems And Alternative Character Of Diploid And Polyploid Populations
Fig. 6. Ratio of diploid (grey fill) and popyploid (black fik) specimens in settlements and invasion routs of polyploid spined loaches.
Code and data for: Emergence of spatially structured populations by area-concentrated search
<p>The idea that populations are spatially structured has become a very powerful concept in ecology, raising interest in many research areas. However, despite dispersal being a core component of the concept, it typically does not consider the movement behavior underlying any dispersal. Using individual-based simulations in continuous space, we investigate the emergence of a spatially structured population in landscapes with spatially heterogeneous resource distribution and with organisms following simple area-concentrated search (ACS); individuals do not, however, perceive or respond to any habitat attributes per se but only to their foraging success. We investigated effects of different resource clustering patterns in landscapes (single large cluster vs. many small clusters) and different resource densities on spatial structure of populations and movement between resource clusters of individuals. As the results, we found that foraging success increased with increasing resource density and decreasing number of resource clusters. In a wide parameter space, the system exhibited attributes of a spatially structured population with individuals concentrated in areas of high resource density, searching within areas of resources, and 'dispersing' in a straight line between resource patches. 'Emigration' was more likely from patches that were small or of low quality (low resource density), but we observed an interaction effect between these two parameters. With the ACS implemented, individuals tended to move deeper into a resource cluster in scenarios with moderate resource density than in scenarios with high resource density. 'Looping' from patches was more likely if patches were large and of high quality. Our simulations demonstrate that spatial structure in populations may emerge if critical resources are heterogeneously distributed and if individuals follow simple movement rules (such as ACS). Neither the perception of habitat nor an explicit decision to emigrate from a patch on the side of acting individuals is necessary for the emergence of spatial structure.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.